Sarfraz Ahmed — AI Researcher

Lead Data Scientist | Machine Learning Strategist | Driving Scalable Business Impact I’m a Data Scientist with 8+ years of experience building high-impact ML systems across fintech, mobility, tech and e-commerce. My work spans the full stack—from problem discovery and model development to deployment and business integration—with a sharp focus on delivering measurable outcomes. Currently at Novo, I lead ML initiatives across acquisition, credit risk, and onboarding. I’ve built systems that have boosted core customer acquisition by 25%, enabled over $100M in lending, and reduced fraud by 35%, all while improving funnel efficiency and minimizing manual assessments. Prior to this, I drove analytics at Ola, delivering insights and data products to support over 45 million customers across insurance and mobility use cases. Earlier in my career at Mu Sigma, I worked on foundational AI projects—building a conversational AI agent that saved $20M annually by reducing product replacements and driving a 5% bottom-line lift, as well as deploying a GenAI-powered image super-resolution system that improved assortment planning and contributed to a $100M+ revenue lift. I thrive at the intersection of ML, product, and strategy—crafting systems that not only predict well but perform at scale in the real world.

Stackforce AI infers this person is a Data Scientist specializing in Fintech and AI-driven solutions.

Location: Bengaluru, Karnataka, India

Experience: 8 yrs 9 mos